Purpose: This research aims to analyze the evolution of sustainable building rating tools in the United States of America over approximately 30 years. It analyzes the shift from addressing purely environmental concerns to embracing a holistic approach that includes economic and social considerations.Design/methodology/approach: By conducting a comprehensive literature review and analysis, this research systematically examines the differences among sustainable building rating tools (SBRTs). It establishes a decision-making support framework for stakeholders based on existing literature, standards and emerging trends.Findings: Expected findings include insights into the evolution and distinctions among SBRTs. The research is expected to reveal the progression of SBRTs from purely focusing on environmental dimensions to exploring a broader scope that includes economic and social dimensions. The decision-making support framework and forward-looking perspective aim to guide stakeholders in tool selection and offer insights for future developments.Research limitations/implications: The focus of this research primarily centers on SBRTs, which originated in the United States of America, thereby excluding famous global tools such as BREEAM and CASBEE. Therefore, the research outcomes are particularly appropriate to the context of the United States of America. In addition, specific indicators within the general indicators system are not entirely independent of each other, leading to interrelationships between different indicators during the evaluation process. Moreover, in terms of data availability, the early versions of various SBRTs suffered from information gaps, potentially introducing ambiguity in the description of specific indicators, which could influence the weighting results.Originality/value: This research contributes original perspectives by offering a nuanced understanding of the dynamic nature of sustainable building practices. The decision-making support framework adds practical value, assisting stakeholders in selecting diverse certification options. It also contributes to the original body of knowledge by providing insights for future developments in sustainable building practices and certifications.

Considered a promising avenue for achieving improvements in construction and logistics management, the integration of Building Information Modelling (BIM) and the Internet of Things (IoT) has proposed the ability to revolutionize the Architectural, Engineering, Construction, and Facility Management (AECFM) industry. Many studies have been examining different applications of BIM and IOT integration, specifically within the context of industry 4.0 through recent years. However, the existing literature appears to be fragmented due to the absence of review and categorization, leading to difficulties for practitioners and researchers in identifying trends and gaps. This paper delves into the convergence of BIM and IoT within the field of construction and logistics management by reviewing and categorizing the current cited literature derived from various journals using OpenAlex. On the one hand, the results suggest the utilization of RFID and LoRa for logistics, tracking, and inventory management with BIM and IoT as the most frequent topic. On the other hand, the implementation of BIM and IoT for simulating emergency evacuation scenarios is the least mentioned topic. The main foci within each topic-subcategory are also highlighted and described respectively.

Sustainable buildings are becoming increasingly desired. One of the specific aspects for evaluating sustainability is indoor environmental quality (IEQ), which affects occupants’ behaviors and health (OBH) directly. While most of the research focuses on high occupancy-buildings, this research is aiming at investigating and categorizing the IEQ factors that influence OBH of people working inside industrial buildings. This paper presents the state-of-the-art literature on IEQ factors and proposes potential mitigating solutions to problems caused by unhealthy IEQ. Through a systematic literature review of bibliographical databases, and through quantitative analysis, this research identifies that the most influential features of IEQ on OBH. The most widely studied IEQ factors by researchers are “thermal conditions” and “indoor air quality,” which directly affects clothing insulation and physical activity level of the occupants working in the industrial buildings. Potential solutions are highlighted based on the case studies from the literature. The contribution lies on describing the relationship between IEQ and OBH, as well as technological solutions for improving indoor environment.

Nihonbashi in Tokyo is a high-density urban environment that faces increasing risks of disaster such as heatwaves, yet current disaster management plans lack dynamic, real-time response mechanisms to address uneven vulnerability across neighborhoods. This study enhances Nihonbashi’s urban heat resilience using urban digital twins, a dynamic virtual replica integrating real-time data to simulate and optimize urban systems. Employing a 4-step scenario planning model (descriptive, evaluative, predictive, prescriptive), it integrates real-time heat risk, resilience hub occupancy, and social demographic data to optimize access to cool spaces and transportation routes. Leveraging open-sources tools like Network X, OSMnx, and Getis-Ord Gi*, the framework identifies high-risk zones such as office headquarters and subway stations to identify vulnerability hotspots and simulates urban network performance during heatwaves. A heat scenario classifier achieves 96.7% accuracy in predicting heat risk levels. Built on ArcGIS Experience Builder, the platform enables dynamic rerouting to less occupied shelters and shaded pedestrian pathways, prioritizing vulnerable populations, particularly the elderly. Unique contributions include real-time data integration, high-accuracy heat prediction, and an equity-focused approach, distinguishing it from static GIS-based simulations. Data from OpenStreetMap, PLATEAU, and e-Stat ensure reliability, although real-time data access poses challenges. Stakeholders, including planners, emergency responders, and residents, can engage via the interactive platform to simulate scenarios and enhance resilience. This scalable, open-source framework offers a transformative model for urban heat management adaptable to other cities.